MALLEK SABRINE
Sabrine MALLEK est titulaire d'un double Doctorat en Informatique de Gestion de l'université de Tunis et en Génie Informatique et Automatique de l'université d'Artois. Elle a d'abord obtenu une licence en Informatique de Gestion et un Master en Business Intelligence de l'ISG Tunisie, puis un second Master en Data Mining de l’école polytechnique de l’université de Nantes. Dr MALLEK a été professeure-chercheuse à l'université d'Artois et à l'université de Lorraine. En plus de sa carrière universitaire, elle a occupé des postes clés dans l'industrie, notamment responsable du SIRH dans le secteur de l'énergie en Tunisie, et consultante en business intelligence au Luxembourg. Ses intérêts de recherche portent sur la transformation numérique, l'intelligence artificielle et l’apprentissage automatique, avec un accent sur les applications en marketing, ressources humaines et finance. Elle est membre active de plusieurs associations académiques et professionnelles, dont AIS, ICTO, Latitudes et La Fresque du Climat. De plus, elle siège aux comités de programme de diverses conférences internationales et agit en tant que relectrice pour des revues internationales prestigieuses.
DiplĂŽmes et formations
Postes
Cours enseignés
IntĂȘrets de Recherche
Publications
MALLEK, S., S. BEN ABDRABBAH, “DeepSeek : entre enthousiasme et scepticisme, que disent les commentateurs sur les rĂ©seaux sociaux ?”, The conversation, FĂ©vrier 2025
ALAEDDINI, M., S. MALLEK, S. HONIGSBERG, “Uncovering Research Trends: A Textual Analysis of AI Applications in Circular Economy under an Industry 5.0 Paradigm” dans 11th IFAC Conference on Manufacturing Modelling, Management and Control â IFAC MIM2025, 2025
MALLEK, S., E. BONHOURE, R. BAWACK, “Hey Alexa : Identity Driven Recommendation Acceptance Patterns in Voice Enabled Commerce” dans International Conference on Information Systems (ICIS), Association for Information Systems (AIS), pp. 2469, 2024, Bangkok, ThaĂŻlande
BAI, D., M. LI, Y. WANG, S. MALLEK, U. SHAHZAD, “Impact mechanisms and spatial and temporal evolution of digital economy and green innovation: A perspective based on regional collaboration within urban agglomerations”, Technological Forecasting and Social Change, Octobre 2024, vol. 207, pp. 123613
BAWACK, R., E. BONHOURE, S. MALLEK, “Why would consumers risk taking purchase recommendations from voice assistants?”, Information Technology and People, Avril 2024
MUHAMMAD, T., G. NI, Z. CHEN, S. MALLEK, M. DUDEK, G. MENTEL, “Addressing Resource Curse: How Mineral Resources Influence Industrial Structure Dynamics of the BRI 57 Oil-Exporting Countries”, Resources Policy, Novembre-DĂ©cembre 2024, vol. 99, no. 105420
BEN ABDRABBAH, S., S. MALLEK, N. BEN AMOR, “Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups” dans Agents and Artificial Intelligence. ICAART 2023. Lecture Notes in Computer Science., Rocha, A.P., Steels, L., van den Herik, J. Eds, Springer Nature Switzerland, vol. 14546, pp. 187-201, 2024
HUO, Q., Y. HUANG, S. KHAN, S. MALLEK, E. WOLANIN, “Employment generation via natural resources: A novel perspective of Dutch disease in the employment market”, Resources Policy, AoĂ»t 2023, vol. 85, no. Part B, pp. 103969
SI MOHAMMED, K., M. TEDESCHI, S. MALLEK, M. TARCZYĆSKA-ĆUNIEWSKA, A. ZHANG, “Realized semi variance quantile connectedness between oil prices and stock market: Spillover from Russian-Ukraine clash”, Resources Policy, AoĂ»t 2023, vol. 85, no. A, pp. 103798
XU, Y., L. YUAN, R. KHALFAOUI, M. RADULESCU, S. MALLEK, X. ZHAO, “Making technological innovation greener: Does firm digital transformation work?”, Technological Forecasting and Social Change, Octobre-DĂ©cembre 2023, vol. 197, pp. 122928
ZHAO, X., S. YUPING, C. MAGAZZINO, M. MADALENO, S. MALLEK, “Multi-step impacts of environmental regulations on green economic growth: Evidence in the lens of natural resource dependence”, Resources Policy, AoĂ»t 2023, vol. 85, no. Part B, pp. 103919
BAWACK, R., E. BONHOURE, S. MALLEK, “Alexa is the New Influencer: An Empirical Study based on a Relational View” dans 29th Americas Conference on Information Systems, AMCIS 2023, August 10-12, 2023, Panama City, Panama
MALLEK, S., “Digitization of Sport and Athletes’ Technostress” dans 13th Annual Conference of the European Division of the Decision Sciences Institute (EDSI), Building Resilience for Sustainable Transition, 2023, Nantes, France
MALLEK, S., E. BONHOURE, R. BAWACK, “Voice Assistant Acceptance: A Social Recommender System Perspective” dans The 7th Conference for Information & Communication Technologies for Organization & Society, Ethical & Responsible Artificial Intelligence For Sustainable Societies, 2023, Paris, France
MALLEK, S., S. BEN ABDRABBAH, A. BADDREDINE, “Risk Assessment in Industrial Processes : A Recommender-System Approach” dans 18th Academy of Innovation, Entrepreneurship, and Knowledge Conference, 2023, Madrid, Espagne
MALLEK, S., “The power of AI recommendations” British Data Science Society Meeting. 2023, University of Essex , Colchester, Royaume Uni
MALLEK, S., S. SABKHA, “Worldwide financial markets’ reactions to the Covid-19 pandemic: A hybrid FIEGARCH-Deep learning approach” dans 14th Academy of Innovation, Entrepreneurship, and Knowledge Conference, 2021, Paris, France
SABKHA, S., C. DE PERETTI, S. MALLEK, “Forecasting sovereign CDS volatility: A comparison of univariate GARCH-class models”, Vie et Sciences Economiques, Juin 2020, vol. 209, no. 1, pp. 27- 56
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFĂVRE, “Evidential Link Prediction in Social Networks based on Structural and Social Information”, Journal of Computational Science, Janvier 2019, vol. 30, pp. 98-107
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “Evidential Multi-relational Link Prediction Based on Social Content” dans ISMIS 2018, 2018, Limassol, Chypre
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes” dans IEA/AIE 2017, 2017, Arras, France
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “Evidential k-NN for Link Prediction” dans ISIPTA â17 & ECSQARU 2017, 2017, Lugano, Suisse
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks” dans IUKM 2016, 2016, Da Nang, Vietnam
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “Evidential Missing Link Prediction in Uncertain Social Networks” dans IPMU 2016, 2016, Eindhoven, Pays-Bas
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, “Community Detection for Graph-based Similarity: Application to Protein Binding Pockets Classification”, Pattern Recognition Letters, Septembre 2015, vol. 62, pp. 49-54